Is Java right for your data science projects? There is no right or wrong answer to this but knowing Java is definitely beneficial because it provides a host of other services when working with data science applications. Java for Data Science - Should data scientists learn Java? This makes it easy to switch between environments if the need arises.
#SHOULD YOU LEARN JAVA OR PYTHON CODE#
Python is a cross- platform programming language, which means that the same code works across different environments without any changes made to the code. This makes it an excellent programming language of choice by data scientists for managing large volumes of data. Python has excellent memory management capability, especially garbage collection. Due to its simplicity, it is easier to keep the focus primarily on handling computations rather than getting caught up in the details of managing the program flow. It requires much fewer lines of code than other programming languages to perform the same operations. Python is a simple and easy-to-learn programming language. Get Closer To Your Dream of Becoming a Data Scientist with 70+ Solved End-to-End ML Projects There are always new data science and machine learning libraries rolled out to meet different data science requirements. This is the major reason Python has shown itself to be a prevalent choice for Data Science. Professionals working in the data science domain- be it data scientists, machine learning engineers, or data analysts don't want to be bogged with a programming language that has complex syntax and limited libraries for handling large volumes of data when applying complex computations and calculations. Why do data scientists love Python for Data Science? Around 1992, James Gosling and his team were building a set-top box which was started by “cleaning up” C++, which resulted in the birth of a new language, which was initially called ‘Oak’, but later on. Python was made as a hobby project but Java was created by accident. Python was initially invented as a hobby project by its inventor, Guido Van Rossum, and has become one of the most popular data science programming languages in use today.
Like the poem says, “if the implementation is easy to explain, it may be a good idea” to familiarise yourself with Python. It brilliantly sums up some intriguing things about Python as a programming language. Here is a poem written by Tim Peters called “The Zen of Python”, which can be read by simply typing “import this” on a Python console. Java is also used by many big companies including Uber and Airbnb to process their backend algorithms. Instagram switched to Python as its primary programming language in 2017 and is using it ever since. Netflix and Spotify use Python to generate their recommendation engines. Python is used heavily in the backend to process the data. Take for example companies such as Netflix, Google, Instagram, and Spotify. They are used by various enterprises and developers across the globe today. Java vs Python - Which language fills the need and meshes well with data science?Īccording to Popularity of Programming Languages (PYPL), Python and Java are two of the most popular programming languages in use as of June 2023.
Java vs Python for Data Science- Syntax.Java vs Python for Data Science - A Comparison.Java for Data Science - Should data scientists learn Java?.Why do data scientists love Python for Data Science?.Java vs Python - Which language fills the need and meshes well with data science?.
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